In August of last year, our Gemini Image model, Nano Banana, became a viral sensation, redefining image generation and editing. Then in November, we released Nano Banana Pro, offering users advanced intelligence and studio-quality creative control. Today, we’re bringing the best of both worlds to users across Google. Introducing Nano Banana 2 (Gemini 3.1 Flash …
is one of the earliest and most iconic games in the history of digital entertainment. In its classic form, the game simulates a table tennis match with two paddles that move vertically across the screen to hit a bouncing ball. Each of the player controls a paddle and has to bounce the ball back to …
Image by Author # Introduction Data quality problems are everywhere. Missing values where there shouldn’t be any. Dates in the wrong format. Duplicate records that slip through. Outliers that skew your analysis. Text fields with inconsistent capitalization and spelling variations. These issues can break your analysis, pipelines, and often lead to incorrect business decisions. Manual …
5 Useful Python Scripts for Automated Data Quality Checks Read More »
Introducing our National Partnerships for AI and collaboration in India We believe AI will be the most transformative technology in human history and that it should be deployed in ways that benefit all of humanity. This requires deep, strategic collaboration between frontier AI labs, governments, academia, and civil society. To fully realise AI’s potential, Google …
scaling AI in science and education — Google DeepMind Read More »
that have pervaded nearly every facet of our daily lives are autoregressive decoder models. These models apply compute-heavy kernel operations to churn out tokens one by one in a manner that, at first glance, seems extremely inefficient. Given the enormous demand for generative AI, it is no surprise that extraordinary engineering effort is being invested …
Optimizing Token Generation in PyTorch Decoder Models Read More »
Image by Editor # Introducing MCP Standards succeed or fail based on adoption, not technical superiority. The Model Context Protocol (MCP) understood this from the start. Released by Anthropic in late 2024, MCP solved the straightforward problem of how artificial intelligence (AI) models should interact with external tools. The protocol’s design was simple enough to …
The MCP Revolution and the Search for Stable AI Use Cases Read More »
New audio verification capabilities All tracks generated in the Gemini app are embedded with SynthID, our imperceptible watermark for identifying Google AI-generated content. We are also giving you more tools to help identify AI content, broadening our verification capabilities in the Gemini app to include audio, along with image and video. Simply upload a file …
Use Lyria 3 to create music tracks in the Gemini app Read More »
AI is evolving rapidly, and software engineers no longer need to memorize syntax. However, thinking like an architect and understanding the technology that enables systems to run securely at scale is becoming increasingly valuable. I also want to reflect on being in my role a year now as an AI Solutions Engineer at Cisco. I …
Image by Author # How Colab Works Google Colab is an incredibly powerful tool for data science, machine learning, and Python development. This is because it removes the headache of local setup. However, one area that often confuses beginners and sometimes even intermediate users is file management. Where do files live? Why do they disappear? …
What’s next Since releasing Gemini 3 Pro in November, your feedback and the pace of progress have driven these rapid improvements. We are releasing 3.1 Pro in preview today to validate these updates and continue to make further advancements in areas such as ambitious agentic workflows before we make it generally available soon. Starting today, …
